Ágnes Horvát and Dashun Wang give keynotes at Annual IC2S2 Conference

IC2S2 2017 Header

The 3rd Annual International Conference on Computational Social Science (IC2S2) is an interdisciplinary event designed to engage a broad community of researchers – academics, industry experts, open data activists, government agency workers, and think tank analysts – dedicated to advancing social science knowledge through computational methods. This year's conference is in Cologne Germany, on July 10-13, 2017, and NICO is excited to note the following participants.


Ágnes Horvát
Northwestern University
Assistant Professor, School of Communication
NICO Affiliated Faculty
NICO Post Doctoral Researcher (2014-2016)

Title: Hidden signals of collective intelligence in crowdfunding

Video: youtu.be/G-wDjcP4Vh8

Abstract: Crowds have been argued to possess transformative collective intelligence benefits that allow superior decision-making by untrained individuals working in low-information environments. Classic wisdom of crowds theories are based on the study of large groups of diverse and independent decision-makers. Yet, most human decisions are reached in arrangements that violate these criteria. This observation puts forth a key question: Are there new expressions of collective intelligence that enable better outcomes? In this talk, we explore whether crowds furnish collective intelligence benefits in crowdfunding systems. Crowdfunding has grown and diversified quickly over the past couple of years expanding from funding aspirant creative works and supplying pro-social donations to enabling large citizen-funded urban projects and providing commercial interest-based unsecured loans. In the latter setting we find evidence for collective intelligence signals in financing: Opinion diversity and information aggregation speed predict who gets funded and who repays even after accounting for traditional measures of creditworthiness. Most importantly, crowds work best in correctly assessing the outcome of high risk projects. Furthermore, diversity and speed serve as early warning signals when inferring fundraising based solely on the initial part of the campaign. These findings broaden on the one hand the field of crowd-aware system design and inform discussions about the augmentation of traditional financing systems with tech innovations. On the other hand, they contribute to the growing literature on the wisdom of crowds.

Agnes Horvat

Dashun Wang
Northwestern University
Associate Professor, Kellog School of Management
NICO Faculty

Title: Predictive Signals Behind Success

Video: youtu.be/hKSZn1rB_BY

Abstract: Our current approach to success is driven by the belief that predicting exceptional impact requires us to detect extraordinary ability. Despite the long-standing interest in the problem, even experts remain notoriously bad at predicting long-term impact. Success reveals predictable patterns, however, if we start to see it not as an individual but a collective phenomenon: for something to be successful, it is not enough to be novel or appealing, but we all must agree that it is worthy of praise. If we accept the collective nature of success, its signatures can be uncovered from the many pieces of data around us using the tools of network and data sciences. In this talk, I will touch on three different examples of success spanning across science and technology, hoping to illustrate a series of fundamental mechanisms governing success. The uncovered patterns in these studies not only document new degrees of regularities underlying the often noisy and unpredictable complex systems, they also offer reliable measures of influence that may hold direct policy implications.

Dashun Wang


Sharing Strategies: Optimal networks for team collaboration and problem solving
PJ Lamberson (NICO Associate Director, 2013–2015)
John Lang
Noshir Contractor (NICO Faculty)
Leslie Dechurch
Brian Uzzi (NICO Co-Director)

Women and Creativity: Gender Differences in the Production of Popular Music
Michael Mauskapf (NICO PhD Student, Graduated 2017)
Jared Lorince (NICO Post Doctoral Fellow, 2016-2017)
Noah Askin
Emoke-Agnes Horvat (NICO Affiliated Faculty and Post Doctoral Fellow, 2014-2016)
Brian Uzzi (NICO Co-Director)

Quantifying patterns of research interest evolution
Tao Jia
Dashun Wang (NICO Faculty)
Boleslaw Szymanski


Measuring Textual Similarity of Scientific Papers to Predict Growth and Decline of Disciplines
Jared Lorince (NICO Post Doctoral Fellow, 2016-2017)
Martin Gerlach (Amaral Lab)
Brian Uzzi (NICO Co-Director)

Reconstructing a scientific discipline
Thomas Stoeger (Amaral Lab)
Martin Gerlach (Amaral Lab)
Richard Morimoto
Luis Amaral (NICO Co-Director)

For the full list of speakers, talks, and posters, please visit the IC2S2 web site: ic2s2.org/2017/